Deep Learning for Single Image Super-Resolution: A Brief Review

Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions. To solve the SISR problem, recently powerful deep learning algorithms have been employed and achieved the state-of-the-art performance. In this survey, we review representative deep learning-based SISR methods, and group them into two categories according to their major contributions to two essential aspects of SISR: the exploration of efficient neural network architectures for SISR, and the development of effective optimization objectives for deep SISR learning. For each category, a baseline is firstly established and several critical limitations of the baseline are summarized. Then representative works on overcoming these limitations are presented based on their original contents as well as our critical understandings and analyses, and relevant comparisons are conducted from a variety of perspectives. Finally we conclude this review with some vital current challenges and future trends in SISR leveraging deep learning algorithms.Comment: Accepted by IEEE Transactions on Multimedia (TMM

Field-Induced Resistive Switching in Metal-Oxide Interfaces

We investigate the polarity-dependent field-induced resistive switching phenomenon driven by electric pulses in perovskite oxides. Our data show that the switching is a common occurrence restricted to an interfacial layer between a deposited metal electrode and the oxide. We determine through impedance spectroscopy that the interfacial layer is no thicker than 10 nm and that the switch is accompanied by a small capacitance increase associated with charge accumulation. Based on interfacial I-V characterization and measurement of the temperature dependence of the resistance, we propose that a field-created crystalline defect mechanism, which is controllable for devices, drives the switch.Comment: 4 pages, 3 figure

Study on drum load of shearer

The shearer cutting drum plays an important role in improving the mining efficiency of the coal mine. Starting from the basic theoretical mechanics, this paper analyzes the force on the shearer cutting drum of a certain model, establishes the mathematical model of the force on the cutting drum, sets the shearer calculation parameters, and calculates the load of the cutting tooth on the shearer cutting drum. Through the analysis, it is concluded that the threeway instantaneous load of the drum cutting tooth is irregularly distributed, and the axial force has sudden changes in magnitude and direction. The research content of this paper has certain guiding significance for the layout design of shearer drum and cutting tooth

Oxidative stress-mediated reperfusion injury: mechanism and therapies

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